What the data for this category looks like
Packaging and printing research report sources include public research reports from securities firms' light manufacturing industry research teams, monthly monitoring data released by industry associations, and periodic reports from listed upstream and downstream enterprises. Update cycles are primarily monthly and quarterly, with some industry dynamic content updated in real time. Document structures typically include overall industry overviews, supply and demand analysis for segmented categories such as corrugated boxes and flexible packaging, raw material cost breakdowns, production capacity utilization rates, downstream customer demand forecasts. Some documents include structured tables and visual charts. Fields and units include professional content such as "cost per square meter of printing (yuan/㎡)", "printing format (mm×mm)", "annual production capacity (tons)". Some research reports include order-related data for specific customers.
What constraints these characteristics impose on workflow orchestration
Multiple data sources require workflow configuration of multi-source data aggregation nodes to unify and integrate research reports and industry data from different channels, avoiding content fragmentation. Differences in update frequencies require setting timed trigger interval parameters to adapt to monthly and quarterly research report release rhythms. Complex document structures with large numbers of tables require enabling table parsing functionality to prevent structured data from being split into scattered text. Professional fields and specific units require configuring field validation rules to ensure uniform extracted unit formats, avoiding unit confusion in subsequent question-and-answer sessions. The professional nature of research report content requires adjusting similarity thresholds to prevent recalling too many low-relevance general light manufacturing research reports.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Packaging and printing research reports contain large numbers of tables with raw material prices and production capacity data. Enabling this setting allows complete extraction of structured content |
maxContext | 8000–12000 characters | The average text length of individual packaging and printing research reports is relatively long. This parameter can accommodate complete research report context and avoid truncation of critical data |
recall_top_k | Top 6 results | Packaging and printing research reports have many segmented dimensions. Too many recalled results introduce irrelevant content, while too few result in insufficient coverage |
similarity_threshold | 0.72–0.78 | Research report content has high professional standards. A threshold that is too low will mix in low-relevance documents, while a threshold that is too high will miss precise content for segmented categories |
workflow_loop_max_times | 10 times | Packaging and printing research report retrieval often requires cyclic verification of data consistency. This upper limit prevents invalid cycles from consuming resources |
MCP_SERVER_ENDPOINT | Fill in the deployed Mermaid MCP Server address | Configure this address to call the corresponding service when generating flowchart links |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: The workflow triggers a "loop count exceeded upper limit" error during execution. The log shows the loop count exceeds the set value. Cause: The
workflow_loop_max_timesparameter was not adjusted to meet the verification needs of packaging and printing research report retrieval. The default upper limit cannot meet the requirements of multi-round data verification. - Phenomenon: No valid image link is returned after calling the Mermaid MCP Server. The interface returns a 500 error. Cause: The
MCP_SERVER_ENDPOINTparameter was not configured correctly, or an HTTP request node was not added to the workflow to connect to this service. - Phenomenon: The old "text processing" node in an existing workflow cannot be called normally after an upgrade. Execution reports a "node does not exist" error. Cause: The platform iteration removed the old version of the text processing node. The corresponding logic in the old workflow was not replaced with new version nodes such as "text splitting" or "field extraction".
How to confirm correct configuration
- Upload a local packaging and printing research report, run the workflow, and check if the parsed text contains complete table data to confirm that the
PARSE_TABLE_ENABLEconfiguration takes effect. - Enter a query term for a packaging and printing segmented category, view the number of returned recalled results, and adjust the
recall_top_kparameter until the results cover the target segmented field. - Trigger a cyclic verification logic, check the loop count in the execution log, and confirm that the
workflow_loop_max_timesparameter meets business requirements. - After configuring the
MCP_SERVER_ENDPOINTaddress, add a flowchart generation node to the workflow. Run the workflow and check if an accessible image link is returned.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.